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Communication Dans Un Congrès Année : 2024

Future AI in crisis management: Proposing a bio-inspired, neuro-symbolic architecture

Aurelie Montarnal
Frederick Benaben
Paul Gaborit

Résumé

This paper addresses the evolving relationship between Artificial Intelligence (AI) and crisis management, spanning over a decade. Initially sparked by social sciences’ interest and facilitated by abundant data, particularly from social media, the collaboration between these fields has streamlined decision-making processes. However, the distinctive, uncertain nature of crises presents challenges in adapting AI to varying contexts. In exploring existing frameworks like Common Operational Picture (COP), Situational Awareness (SA), and Sensemaking, the paper finds a potential misalignment between recent AI architectures, predominantly symbolic or neural, and these established frameworks. To bridge this gap, the paper proposes a bio-inspired neuro-symbolic AI architecture, emphasizing its application at the Sensemaking level during crisis data exploitation. Leveraging insights from neurosciences advancements, the paper aims to enhance the adaptability and effectiveness of AI systems in crisis situations
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Dates et versions

hal-04588658 , version 1 (27-05-2024)

Identifiants

  • HAL Id : hal-04588658 , version 1

Citer

Aurelie Montarnal, Frederick Benaben, Rob Grace, Grégoire Borst, Paul Gaborit. Future AI in crisis management: Proposing a bio-inspired, neuro-symbolic architecture. ISCRAM 2024 - 21th - Information Systems for Crisis Response and Management., May 2024, Münster, Germany. ⟨hal-04588658⟩
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